{"id":200,"date":"2026-11-01T11:58:36","date_gmt":"2026-11-01T07:58:36","guid":{"rendered":"https:\/\/demensdeum.com\/blog\/2026\/11\/01\/ollama-jev-decision-models\/"},"modified":"2026-11-01T11:58:36","modified_gmt":"2026-11-01T07:58:36","slug":"ollama-jev-decision-models","status":"publish","type":"post","link":"https:\/\/demensdeum.com\/blog\/zh\/2026\/11\/01\/ollama-jev-decision-models\/","title":{"rendered":"Ollama \u4e2d\u7684 Jev \u89e3\u51b3\u65b9\u6848\u6a21\u578b\uff1a\u5b9e\u9645\u4f7f\u7528 \/v1\/systemone"},"content":{"rendered":"<p>\u4ece\u7248\u672c 0.35 \u5f00\u59cb\uff0cOllama \u652f\u6301\u57fa\u4e8e TypeSafe \u7684 Jev API \u6784\u5efa\u7684\u51b3\u7b56\u6a21\u578b\u3002\u8fd9\u4e9b\u4e0d\u662f\u901a\u5e38\u610f\u4e49\u4e0a\u7684\u804a\u5929\u6a21\u578b\uff1a\u5b83\u4eec\u4e0d\u7f16\u5199\u6587\u672c\uff0c\u800c\u662f\u56de\u7b54\u4e00\u7ec4\u6709\u5173\u8f6c\u79fb\u72b6\u6001\u7684\u952e\u5165\u95ee\u9898\u3002\u5bf9\u4e8e\u5206\u7c7b\u3001\u8def\u7531\u3001\u5ba1\u6838\u548c\u5206\u7c7b\uff0c\u8fd9\u6bd4\u8981\u6c42\u5e38\u89c4 LLM \u8fd4\u56de JSON \u7136\u540e\u89e3\u6790\u5176\u54cd\u5e94\u66f4\u5feb\u3001\u66f4\u53ef\u9760\u3002<\/p>\n<p>\u5728\u8fd9\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u5c06\u4ecb\u7ecd\u4ec0\u4e48\u662f\u51b3\u7b56\u6a21\u578b\u3001\u5b83\u4eec\u5982\u4f55\u5728 HTTP \u7ea7\u522b\u5de5\u4f5c\u3001\u54ea\u4e9b\u6a21\u578b\u5df2\u7ecf\u53ef\u7528\uff0c\u4ee5\u53ca\u5982\u4f55\u5c06\u5b83\u4eec\u6784\u5efa\u5230\u73b0\u6709\u4ee3\u7801\u4e2d\uff0c\u4ee5\u4fbf\u5e38\u89c4\u751f\u6210\u6a21\u578b\u7ee7\u7eed\u5de5\u4f5c\u3002<\/p>\n<h2>\u51b3\u7b56\u6a21\u578b\u4e0e\u5e38\u89c4\u6a21\u578b\u6709\u4f55\u4e0d\u540c<\/h2>\n<p>\u5e38\u89c4\u7684 LLM \u4f1a\u6536\u5230\u63d0\u793a\u5e76\u9010\u4e2a\u751f\u6210\u6587\u672c\u6807\u8bb0\u3002\u5373\u4f7f\u4f60\u8ba9\u5979\u7528\u4e00\u4e2a\u8bcd\u6765\u56de\u7b54\uff0c\u751f\u6210\u4ecd\u7136\u53d1\u751f\u5728\u91cc\u9762\uff0c\u800c\u7b54\u6848\u7684\u683c\u5f0f\u5fc5\u987b\u7531\u56fe\u8868\u3001\u8bf4\u660e\u548c\u540e\u7eed\u9a8c\u8bc1\u6765\u63a7\u5236\u3002\u51b3\u7b56\u6a21\u578b\u7684\u5de5\u4f5c\u65b9\u5f0f\u6709\u6240\u4e0d\u540c\uff1a\u60a8\u901a\u8fc7\u7c7b\u578b\u4f20\u9012\u72b6\u6001\u548c\u95ee\u9898\uff0c\u6a21\u578b\u8fd4\u56de\u6982\u7387\u548c\u9009\u5b9a\u7684\u9009\u9879\u3002\u6ca1\u6709\u81ea\u7531\u6587\u672c\uff0c\u6ca1\u6709\u4ece\u54cd\u5e94\u4e2d\u89e3\u6790 JSON\u3002<\/p>\n<p>\u65b0\u7aef\u70b9\u79f0\u4e3a \/v1\/systemone\u3002\u5728\u4e00\u4e2a\u8bf7\u6c42\u4e2d\uff0c\u60a8\u53ef\u4ee5\u540c\u65f6\u63d0\u51fa\u591a\u4e2a\u95ee\u9898\uff0c\u6a21\u578b\u5c06\u56de\u7b54\u6240\u6709\u95ee\u9898\u3002\u8fd9\u5bf9\u4e8e\u9700\u8981\u505a\u51fa\u591a\u4e2a\u76f8\u5173\u51b3\u7b56\u7684\u4efb\u52a1\u975e\u5e38\u65b9\u4fbf\uff1a\u4f8b\u5982\uff0c\u786e\u5b9a\u56e2\u961f\u3001\u662f\u5426\u9700\u8981\u8fd4\u56de\u4ee5\u53ca\u7968\u8bc1\u7684\u7d27\u6025\u7a0b\u5ea6\u3002<\/p>\n<h2>\u6709\u54ea\u4e9b\u578b\u53f7\u53ef\u4f9b\u9009\u62e9<\/h2>\n<p>\u73b0\u5728\u60a8\u53ef\u4ee5\u901a\u8fc7 Ollama \u8fd0\u884c\u4e09\u4e2a\u51b3\u7b56\u6a21\u578b\uff1a<\/p>\n<ul>\n<li><b>nimble<\/b> \u662f\u6765\u81ea Bespoke Labs \u7684\u5f00\u653e\u6a21\u578b\uff0c\u62e5\u6709 90 \u4ebf\u4e2a\u53c2\u6570\u3002\u5b83\u662f\u73b0\u6709\u7684\u6700\u5927\u4e14\u6700\u51c6\u786e\u7684\u3002<\/li>\n<li><b>tev1<\/b> \u662f\u6765\u81ea Together AI \u7684\u4e00\u4e2a\u5b9e\u9a8c\u6a21\u578b\uff0c\u62e5\u6709 40 \u4ebf\u4e2a\u53c2\u6570\u3002<\/li>\n<li><b>tev1:0.8b<\/b> \u662f\u6765\u81ea Together AI \u7684\u5177\u6709 8 \u4ebf\u4e2a\u53c2\u6570\u7684\u5b9e\u9a8c\u6a21\u578b\u3002\u6700\u5feb\u3001\u6700\u7b80\u5355\u3002<\/li>\n<\/ul>\n<p>\u5b83\u4eec\u90fd\u5728\u672c\u5730\u5de5\u4f5c\uff0c\u4e0d\u9700\u8981\u4ed8\u6b3e\uff0c\u4e5f\u4e0d\u5c06\u6570\u636e\u53d1\u9001\u5230\u5916\u90e8\u670d\u52a1\u3002\u652f\u6301 Ollama 0.35 \u53ca\u66f4\u9ad8\u7248\u672c\u3002<\/p>\n<h2>\u5b89\u88c5<\/h2>\n<p>\u9996\u5148\u67e5\u770bOllama\u7248\u672c\uff1a<\/p>\n<div class=\"hcb_wrap\">\n<pre class=\"prism undefined-numbers lang-unknown\" data-lang=\"unknown\"><code>ollama --version\n<\/code><\/pre>\n<\/div>\n<p>\u7136\u540e\u4e0b\u8f7d\u6240\u9700\u7684\u6a21\u578b\u3002\u5bf9\u4e8e\u6700\u7b80\u5355\u7684\u4e00\u4e2a\uff1a<\/p>\n<div class=\"hcb_wrap\">\n<pre class=\"prism undefined-numbers lang-unknown\" data-lang=\"unknown\"><code>ollama pull tev1:0.8b\n<\/code><\/pre>\n<\/div>\n<p>\u5bf9\u4e8e tev1 \u7684\u5b8c\u6574\u7248\u672c\uff1a<\/p>\n<div class=\"hcb_wrap\">\n<pre class=\"prism undefined-numbers lang-unknown\" data-lang=\"unknown\"><code>ollama pull tev1\n<\/code><\/pre>\n<\/div>\n<p>\u5bf9\u4e8e\u654f\u6377\uff1a<\/p>\n<div class=\"hcb_wrap\">\n<pre class=\"prism undefined-numbers lang-unknown\" data-lang=\"unknown\"><code>ollama pull nimble\n<\/code><\/pre>\n<\/div>\n<p>nimble \u6a21\u578b\u5360\u7528\u7ea6 9.5 GB \u7684\u78c1\u76d8\u7a7a\u95f4\uff0c\u56e0\u6b64\u6700\u597d\u5728\u4e0b\u8f7d\u4e4b\u524d\u6e05\u7406\u4e00\u4e9b\u7a7a\u95f4\u3002 tev1:0.8b \u5360\u7528\u4e0d\u5230 1 GB\u3002<\/p>\n<h2>\u901a\u8fc7curl\u53d1\u51fa\u7684\u7b2c\u4e00\u4e2a\u8bf7\u6c42<\/h2>\n<p>\u6700\u7b80\u5355\u7684\u4f8b\u5b50\u662f\u5224\u65ad\u4e00\u6bb5\u6587\u5b57\u662f\u5426\u662f\u62db\u8058\u5e7f\u544a\uff1a<\/p>\n<div class=\"hcb_wrap\">\n<pre class=\"prism undefined-numbers lang-unknown\" data-lang=\"unknown\"><code>curl http:\/\/localhost:11434\/v1\/systemone -d '{\n  \"model\": \"tev1:0.8b\",\n  \"state\": {\n    \"message\": \"Senior Swift developer, Berlin, remote friendly\"\n  },\n  \"questions\": {\n    \"isJob\": {\n      \"type\": \"noul\",\n      \"instructions\": \"Does the message advertise a job posting that someone can apply to?\"\n    }\n  }\n}'\n<\/code><\/pre>\n<\/div>\n<p>\u7b54\u6848\u770b\u8d77\u6765\u50cf\u8fd9\u6837\uff1a<\/p>\n<div class=\"hcb_wrap\">\n<pre class=\"prism undefined-numbers lang-unknown\" data-lang=\"unknown\"><code>{\n  \"model\": \"tev1:0.8b\",\n  \"answers\": {\n    \"isJob\": {\n      \"type\": \"noul\",\n      \"noul\": 0.921\n    }\n  },\n  \"usage\": {\n    \"input_tokens\": 42,\n    \"output_tokens\": 0\n  }\n}\n<\/code><\/pre>\n<\/div>\n<p>noul\u5b57\u6bb5\u662f\u4ece0\u52301\u7684\u6982\u7387\u3002\u901a\u8fc7\u4e0e\u9608\u503c\uff08\u901a\u5e38\u4e3a0.5\uff09\u6bd4\u8f83\u6765\u505a\u51fa\u51b3\u5b9a\u3002\u4e0e\u751f\u6210\u6a21\u578b\u4e0d\u540c\uff0c\u4e0d\u9700\u8981\u8bf7\u6c42 JSON \u683c\u5f0f\u7684\u54cd\u5e94\uff0c\u7136\u540e\u68c0\u67e5\u6a21\u578b\u662f\u5426\u6ca1\u6709\u7834\u574f\u5b83\u3002<\/p>\n<h2>\u95ee\u9898\u7c7b\u578b<\/h2>\n<p>\u51b3\u7b56\u6a21\u578b\u652f\u6301\u4e09\u79cd\u7c7b\u578b\u7684\u95ee\u9898\u3002<\/p>\n<p><b>noul<\/b> \u662f\u4e00\u4e2a\u4e8c\u5143\u95ee\u9898\u3002\u8fd4\u56de\u8bed\u53e5\u4e3a\u771f\u7684\u6982\u7387\uff1a<\/p>\n<div class=\"hcb_wrap\">\n<pre class=\"prism undefined-numbers lang-unknown\" data-lang=\"unknown\"><code>{\n  \"questions\": {\n    \"refund\": {\n      \"type\": \"noul\",\n      \"instructions\": \"Does the customer explicitly ask for a refund?\"\n    }\n  }\n}\n<\/code><\/pre>\n<\/div>\n<p><b>\u9009\u62e9<\/b> &#8211; \u4ece\u7ed9\u5b9a\u7684\u96c6\u5408\u4e2d\u9009\u62e9\u4e00\u4e2a\u9009\u9879\u3002\u8fd4\u56de\u6240\u9009\u9009\u9879\u3001\u6240\u6709\u9009\u9879\u7684\u6982\u7387\u548c\u7f6e\u4fe1\u5ea6\uff1a<\/p>\n<div class=\"hcb_wrap\">\n<pre class=\"prism undefined-numbers lang-unknown\" data-lang=\"unknown\"><code>{\n  \"questions\": {\n    \"team\": {\n      \"type\": \"choice\",\n      \"instructions\": \"Which team should handle this ticket?\",\n      \"criteria\": {\n        \"billing\": \"Payments and refunds\",\n        \"technical\": \"Bugs and integrations\",\n        \"other\": \"None of the above\"\n      }\n    }\n  }\n}\n<\/code><\/pre>\n<\/div>\n<p><b>\u5206\u6570<\/b> &#8211; \u7b49\u7ea7\u8bc4\u5206\u3002\u8fd4\u56de\u6bcf\u4e2a\u6bd4\u4f8b\u70b9\u7684\u6570\u5b57\u3001\u56fe\u4f8b\u548c\u6982\u7387\uff1a<\/p>\n<div class=\"hcb_wrap\">\n<pre class=\"prism undefined-numbers lang-unknown\" data-lang=\"unknown\"><code>{\n  \"questions\": {\n    \"urgency\": {\n      \"type\": \"score\",\n      \"instructions\": \"How urgent is this ticket?\",\n      \"criteria\": [\"Routine\", \"Soon\", \"Urgent\"]\n    }\n  }\n}\n<\/code><\/pre>\n<\/div>\n<p>\u4e00\u4e2a\u8bf7\u6c42\u53ef\u4ee5\u540c\u65f6\u5305\u542b\u591a\u4e2a\u4e0d\u540c\u7c7b\u578b\u7684\u95ee\u9898\u3002\u8fd9\u5c31\u662f\u51b3\u7b56\u6a21\u578b\u4fbf\u4e8e\u5206\u7c7b\u7684\u539f\u56e0\uff1a\u4e00\u79cd\u64cd\u4f5c\uff0c\u4e00\u79cd\u72b6\u6001\uff0c\u51e0\u4e2a\u72ec\u7acb\u7684\u51b3\u7b56\u3002<\/p>\n<h2>\u65e0\u9700\u989d\u5916\u5e93\u7684 Python<\/h2>\n<p>\u5bf9\u4e8e\u8bf7\u6c42\u6765\u8bf4\uff0c\u6807\u51c6\u7684urllib\u5c31\u8db3\u591f\u4e86\uff1b\u4e0d\u9700\u8981\u5355\u72ec\u7684 SDK\uff1a<\/p>\n<div class=\"hcb_wrap\">\n<pre class=\"prism undefined-numbers lang-unknown\" data-lang=\"unknown\"><code>import json\nfrom urllib.request import Request, urlopen\n\nOLLAMA_DECISION_URL = \"http:\/\/localhost:11434\/v1\/systemone\"\n\ndef ask_decision(state, questions, model=\"tev1:0.8b\"):\n    payload = {\n        \"model\": model,\n        \"state\": state,\n        \"questions\": questions,\n    }\n    request = Request(\n        OLLAMA_DECISION_URL,\n        data=json.dumps(payload).encode(),\n        headers={\"Content-Type\": \"application\/json\"},\n        method=\"POST\",\n    )\n    with urlopen(request, timeout=3600) as response:\n        return json.loads(response.read().decode())[\"answers\"]\n<\/code><\/pre>\n<\/div>\n<p>\u7528\u6cd5\uff1a<\/p>\n<div class=\"hcb_wrap\">\n<pre class=\"prism undefined-numbers lang-unknown\" data-lang=\"unknown\"><code>answers = ask_decision(\n    {\"message\": \"Senior Swift developer, Berlin, remote friendly\"},\n    {\n        \"isJob\": {\n            \"type\": \"noul\",\n            \"instructions\": \"Does the message advertise a job posting that someone can apply to?\"\n        }\n    },\n)\n\nprobability = answers[\"isJob\"][\"noul\"]\nis_job = probability >= 0.5\n<\/code><\/pre>\n<\/div>\n<p>\u5982\u679c\u60a8\u9700\u8981\u5b98\u65b9\u7684Python SDK\uff0c\u5b83\u79f0\u4e3atypesafe-sdk\u3002\u5bf9\u4e8e\u672c\u5730\u4e3b\u673a\uff0c\u53ef\u4ee5\u4f7f\u7528\u73af\u5883\u53d8\u91cf TYPESAFE_BASE_URL\u3001TYPESAFE_API_KEY \u548c TYPESAFE_DEFAULT_MODEL \u5c06\u5176\u5b9a\u5411\u5230 Ollama\u3002\u4f46\u5bf9\u4e8e\u7b80\u5355\u7684\u4efb\u52a1\uff0c\u76f4\u63a5 HTTP \u8bf7\u6c42\u5c31\u8db3\u591f\u4e86\u3002<\/p>\n<h2>\u5982\u4f55\u7406\u89e3\u6a21\u578b\u652f\u6301\u51b3\u7b56<\/h2>\n<p>\u51b3\u7b56\u6a21\u578b\u65e0\u6cd5\u901a\u8fc7 \/api\/generate \u6216 \/api\/chat \u8fdb\u884c\u54cd\u5e94\u3002\u5982\u679c\u60a8\u53d1\u9001\u6b64\u7c7b\u8bf7\u6c42\uff0cOllama \u5c06\u8fd4\u56de 400 \u9519\u8bef\uff0c\u5176\u4e2d\u5305\u542b\u5982\u4e0b\u6587\u672c\uff1a<\/p>\n<div class=\"hcb_wrap\">\n<pre class=\"prism undefined-numbers lang-unknown\" data-lang=\"unknown\"><code>\"tev1:0.8b\" does not support generate\n<\/code><\/pre>\n<\/div>\n<p>\u5982\u679c\u60a8\u5df2\u7ecf\u62e5\u6709\u901a\u8fc7 \/api\/generate \u5904\u7406\u5e38\u89c4\u6a21\u578b\u7684\u4ee3\u7801\uff0c\u8fd9\u4e00\u70b9\u5f88\u91cd\u8981\uff1a\u5982\u679c\u60a8\u5c06\u6a21\u578b\u66f4\u6539\u4e3a\u51b3\u7b56\u6a21\u578b\uff0c\u5b83\u5c06\u505c\u6b62\u5de5\u4f5c\u3002\u6700\u597d\u901a\u8fc7 \/api\/show \u63d0\u524d\u4e86\u89e3\u6a21\u578b\u7684\u80fd\u529b\uff0c\u5e76\u9009\u62e9\u5408\u9002\u7684\u8c03\u7528\u65b9\u5f0f\uff1a<\/p>\n<div class=\"hcb_wrap\">\n<pre class=\"prism undefined-numbers lang-unknown\" data-lang=\"unknown\"><code>import json\nfrom urllib.request import Request, urlopen\n\nOLLAMA_SHOW_URL = \"http:\/\/localhost:11434\/api\/show\"\n\ndef supports_decision(model):\n    request = Request(\n        OLLAMA_SHOW_URL,\n        data=json.dumps({\"model\": model}).encode(),\n        headers={\"Content-Type\": \"application\/json\"},\n        method=\"POST\",\n    )\n    try:\n        with urlopen(request, timeout=30) as response:\n            capabilities = json.loads(response.read().decode()).get(\"capabilities\", [])\n    except (OSError, TypeError, ValueError):\n        return False\n    return \"decision\" in capabilities\n<\/code><\/pre>\n<\/div>\n<p>\u51b3\u7b56\u6a21\u578b\u53ea\u80fd\u6839\u636e\u5176\u80fd\u529b\u505a\u51fa\u51b3\u7b56\u3002\u5e38\u89c4\u6a21\u578b\u5c06\u6709\u5b8c\u6210\u3001\u5de5\u5177\u6216\u5176\u4ed6\u529f\u80fd\u3002\u5982\u679c Ollama \u4e0d\u53ef\u7528\uff0c\u5219\u53ef\u4ee5\u5408\u7406\u5730\u8ba4\u4e3a\u6a21\u578b\u6b63\u5e38\u5e76\u4f7f\u7528\u751f\u6210\u8def\u5f84\u3002<\/p>\n<h2>\u5982\u4f55\u5d4c\u5165\u73b0\u6709\u4ee3\u7801<\/h2>\n<p>\u6700\u7b80\u5355\u7684\u65b9\u6cd5\u4e0d\u662f\u91cd\u5199\u5206\u7c7b\u5668\uff0c\u800c\u662f\u5c06\u5176\u5206\u4e3a\u4e24\u79cd\u7b56\u7565\u3002\u751f\u6210\u7b56\u7565\u7684\u5de5\u4f5c\u65b9\u5f0f\u4e0e\u4ee5\u524d\u4e00\u6837\uff1a\u5b83\u6536\u96c6\u63d0\u793a\uff0c\u5c06\u5176\u53d1\u9001\u5230 \/api\/generate \u5e76\u89e3\u6790 JSON\u3002\u51b3\u7b56\u7b56\u7565\u5c06\u72b6\u6001\u548c\u952e\u5165\u7684\u95ee\u9898\u53d1\u9001\u5230 \/v1\/systemone \u5e76\u5c06\u6982\u7387\u4e0e\u9608\u503c\u8fdb\u884c\u6bd4\u8f83\u3002<\/p>\n<p>\u521b\u5efa\u5206\u7c7b\u5668\u65f6\uff0c\u7b56\u7565\u7684\u9009\u62e9\u53d1\u751f\u5728\u4e00\u4e2a\u5730\u65b9\uff1a<\/p>\n<div class=\"hcb_wrap\">\n<pre class=\"prism undefined-numbers lang-unknown\" data-lang=\"unknown\"><code>def create_classifier(model):\n    if supports_decision(model):\n        return DecisionClassifier(model)\n    return GenerativeClassifier(model)\n<\/code><\/pre>\n<\/div>\n<p>\u8fd9\u79cd\u65b9\u6cd5\u6709\u51e0\u4e2a\u4f18\u70b9\u3002\u751f\u6210\u6a21\u578b\u7ee7\u7eed\u8fd0\u884c\u4e0d\u53d8\u3002\u53ef\u4ee5\u901a\u8fc7\u66f4\u6539\u4e00\u4e2a\u73af\u5883\u53d8\u91cf\u6765\u542f\u7528\u51b3\u7b56\u6a21\u578b\u3002\u8fd9\u4e24\u79cd\u65b9\u6cd5\u4e4b\u95f4\u7684\u5168\u90e8\u5dee\u5f02\u96c6\u4e2d\u5728\u4e24\u4e2a\u5c0f\u7c7b\u4e2d\uff0c\u5e76\u4e14\u6ca1\u6709\u5206\u6563\u5230\u6574\u4e2a\u5e94\u7528\u7a0b\u5e8f\u4e2d\u3002<\/p>\n<p>\u5bf9\u4e8e\u4e8c\u5143\u5206\u7c7b\uff0c\u51b3\u7b56\u7b56\u7565\u5982\u4e0b\u6240\u793a\uff1a<\/p>\n<div class=\"hcb_wrap\">\n<pre class=\"prism undefined-numbers lang-unknown\" data-lang=\"unknown\"><code>async def classify(text):\n    answers = await ask_decision(\n        {\"message\": text},\n        {\n            \"isJob\": {\n                \"type\": \"noul\",\n                \"instructions\": instructions,\n            }\n        },\n        model,\n    )\n    probability = answers[\"isJob\"][\"noul\"]\n    return probability >= 0.5, probability\n<\/code><\/pre>\n<\/div>\n<p>\u8bf7\u6ce8\u610f\uff0c\u51b3\u7b56\u6a21\u578b\u4e0d\u4f1a\u8fd4\u56de\u89e3\u91ca\u3002\u5982\u679c\u60a8\u7684\u7ed3\u679c\u683c\u5f0f\u5177\u6709\u539f\u56e0\u5b57\u6bb5\uff0c\u60a8\u53ef\u4ee5\u6839\u636e\u6982\u7387\u6784\u5efa\u5b83\uff1a\u4f8b\u5982\uff0c\u5b58\u50a8\u6982\u7387\u672c\u8eab\u6216\u7c7b\u4f3c\u201c\u6a21\u578b\u5c06 0.935 \u7684\u6d88\u606f\u8bc4\u4e3a\u7a7a\u7f3a\u201d\u7684\u5b57\u7b26\u4e32\u3002\u8fd9\u6bd4\u53d1\u660e\u6a21\u578b\u6ca1\u6709\u7ed9\u51fa\u7684\u539f\u56e0\u66f4\u8bda\u5b9e\u3002<\/p>\n<h2>\u8bf4\u660e\u5e94\u8be5\u662f\u4e00\u4e2a\u95ee\u9898<\/h2>\n<p>\u8fd9\u662f\u6700\u91cd\u8981\u7684\u5b9e\u9645\u7ed3\u8bba\u3002\u51b3\u7b56\u6a21\u578b\u65e0\u6cd5\u7406\u89e3\u201c\u4f60\u5bf9\u6d88\u606f\u8fdb\u884c\u5206\u7c7b\uff0c\u5982\u679c\u2026\u2026\u5219\u56de\u7b54 true\uff0c\u5426\u5219\u56de\u7b54 false\u201d\u8fd9\u6837\u7684\u957f\u63d0\u793a\u3002\u4ed6\u4eec\u60f3\u8981\u4e00\u4e2a\u7b80\u77ed\u3001\u76f4\u63a5\u7684\u95ee\u9898\u3002<\/p>\n<p>\u5728\u540c\u4e00\u6761\u5173\u4e8e\u804c\u4f4d\u7a7a\u7f3a\u7684\u6d88\u606f\u4e2d\uff0c\u6211\u6536\u5230\u4e86\u4ee5\u4e0b\u6982\u7387\uff1a<\/p>\n<ul>\n<li>\u76f4\u63a5\u63d0\u95ee\u201c\u6b64\u6d88\u606f\u662f\u62db\u8058\u4fe1\u606f\u5417\uff1f\u201d \u2014 0.921\u3002<\/li>\n<li>\u8be6\u7ec6\u8bf4\u660e\u4ec0\u4e48\u88ab\u89c6\u4e3a\u7a7a\u7f3a &#8211; 0.026\u3002<\/li>\n<li>\u6700\u540e\u6709\u95ee\u9898\u7684\u957f\u8bf4\u660e &#8211; 0.391\u3002<\/li>\n<\/ul>\n<p>\u76f8\u5dee\u4e86\u8fd1\u4e09\u5341\u500d\u3002\u8be5\u6a21\u578b\u5728\u5206\u7c7b\u4e0a\u5e76\u6ca1\u6709\u9519\u8bef\uff0c\u53ea\u662f\u5f53\u95ee\u9898\u9690\u85cf\u5728\u6bb5\u843d\u4e2d\u65f6\uff0c\u5b83\u4e0d\u660e\u767d\u4ed6\u4eec\u60f3\u8981\u4ece\u4e2d\u5f97\u5230\u4ec0\u4e48\u3002\u56e0\u6b64\uff0c\u5bf9\u4e8e\u51b3\u7b56\u6a21\u578b\uff0c\u503c\u5f97\u4fdd\u7559\u5355\u72ec\u7684\u7b80\u77ed\u6307\u4ee4\uff0c\u5e76\u4e3a\u751f\u6210\u6a21\u578b\u7559\u4e0b\u957f\u63d0\u793a\u3002<\/p>\n<p>\u521b\u5efa\u5355\u72ec\u7684\u73af\u5883\u53d8\u91cf\u5f88\u65b9\u4fbf\uff1a<\/p>\n<div class=\"hcb_wrap\">\n<pre class=\"prism undefined-numbers lang-unknown\" data-lang=\"unknown\"><code>OLLAMA_JOB_CLASSIFIER_DECISION_INSTRUCTIONS=Does the message advertise a job posting that someone can apply to?\n<\/code><\/pre>\n<\/div>\n<p>\u5e76\u4ec5\u5bf9\u751f\u6210\u8def\u5f84\u4f7f\u7528\u5e38\u89c4\u63d0\u793a\u3002<\/p>\n<h2>\u9608\u503c\u548c\u6982\u7387<\/h2>\n<p>\u9608\u503c 0.5 \u9002\u5408\u4f5c\u4e3a\u9ed8\u8ba4\u503c\uff0c\u4f46\u5c06\u5176\u5305\u542b\u5728\u914d\u7f6e\u4e2d\u4f1a\u5f88\u6709\u7528\u3002\u5bf9\u4e8e\u4e0d\u540c\u7684\u4efb\u52a1\uff0c\u8bef\u62a5\u548c\u8bef\u62a5\u54cd\u5e94\u7684\u6210\u672c\u662f\u4e0d\u540c\u7684\u3002\u5bf9\u4e8e\u8282\u5236\u6765\u8bf4\uff0c\u63d0\u9ad8\u95e8\u69db\u6bd4\u8f83\u5b89\u5168\uff1b\u5bfb\u627e\u804c\u4f4d\u7a7a\u7f3a\u65f6\uff0c\u5c06\u5176\u964d\u4f4e\u6bd4\u8f83\u5b89\u5168\uff0c\u4ee5\u514d\u9519\u8fc7\u6709\u7528\u7684\u6d88\u606f\u3002<\/p>\n<p>\u8bb0\u5f55\u6982\u7387\u672c\u8eab\u4e5f\u5f88\u6709\u7528\uff0c\u800c\u4e0d\u4ec5\u4ec5\u662f\u7ed3\u679c\u5e03\u5c14\u503c\u3002\u5f53\u5206\u7c7b\u5668\u51fa\u9519\u65f6\uff0c\u65e5\u5fd7\u4f1a\u663e\u793a\u5b83\u662f\u4e00\u4e2a\u81ea\u4fe1\u7684\u7b54\u6848\u8fd8\u662f\u4e00\u4e2a\u8fb9\u754c\u51b3\u7b56\u3002\u5bf9\u4e8e\u9009\u62e9\u95ee\u9898\uff0c\u503c\u5f97\u4fdd\u5b58\u6982\u7387\u548c\u7f6e\u4fe1\u5ea6\uff1a\u5b83\u4eec\u663e\u793a\u6a21\u578b\u5728\u9009\u9879\u4e4b\u95f4\u7684\u6ce2\u52a8\u7a0b\u5ea6\u3002<\/p>\n<h2>\u6027\u80fd\u548c\u5185\u5b58<\/h2>\n<p>\u901f\u5ea6\u5f88\u5927\u7a0b\u5ea6\u4e0a\u53d6\u51b3\u4e8e\u6a21\u578b\u7684\u5927\u5c0f\u548c\u786c\u4ef6\u3002\u5728\u6211\u7684\u6d4b\u8bd5\u4e2d\uff0c\u6211\u5728 CPU \u4e0a\u5f97\u5230\u4e86\u4ee5\u4e0b\u6570\u5b57\uff1a<\/p>\n<ul>\n<li><b>tev1:0.8b<\/b> &#8211; \u53ea\u9700\u51e0\u79d2\u949f\u5373\u53ef\u89e3\u51b3\uff0c\u8f7b\u677e\u88c5\u5165\u5185\u5b58\u3002<\/li>\n<li><b>tev1<\/b> &#8211; 4B\uff0c\u660e\u663e\u8f83\u6162\uff0c\u4f46\u4ecd\u7136\u9002\u5408\u4ea4\u4e92\u5f0f\u4efb\u52a1\u3002<\/li>\n<li><b>nimble<\/b> &#8211; Q8_0 \u4e2d\u4e3a 9B\uff0c\u5185\u5b58\u7ea6\u4e3a 10 GB\u3002\u7b2c\u4e00\u4e2a\u8bf7\u6c42\uff08\u5305\u62ec\u52a0\u8f7d\u6a21\u578b\uff09\u82b1\u8d39\u4e86\u5927\u7ea6 137 \u79d2\uff0c\u540e\u7eed\u89e3\u51b3\u65b9\u6848\u5728 CPU \u4e0a\u82b1\u8d39\u4e86 12 \u5230 32 \u79d2\u3002<\/li>\n<\/ul>\n<p>Nimble \u9700\u8981\u5927\u91cf RAM\u3002\u5728\u5177\u6709 16 GB \u548c\u9650\u5236\u7ea6\u4e3a 8 GB \u7684 Docker\/WSL \u7684\u8ba1\u7b97\u673a\u4e0a\uff0c\u8be5\u6a21\u578b\u4e0d\u9002\u5408\uff1a\u7cfb\u7edf\u5f00\u59cb\u4ea4\u6362\uff0c\u5bb9\u5668\u505c\u6b62\u54cd\u5e94\u3002\u901a\u8fc7 .wslconfig \u6587\u4ef6\u5c06 WSL \u9650\u5236\u589e\u52a0\u5230 12 GB \u6709\u52a9\u4e8e\uff1a<\/p>\n<div class=\"hcb_wrap\">\n<pre class=\"prism undefined-numbers lang-unknown\" data-lang=\"unknown\"><code>[wsl2]\nmemory=12GB\nswap=8GB\n<\/code><\/pre>\n<\/div>\n<p>\u66f4\u6539\u540e\uff0c\u9700\u8981 wsl &#8211;shutdown \u5e76\u91cd\u65b0\u542f\u52a8 Docker Desktop\u3002\u4f46\u5373\u4f7f\u6709 12 GB\uff0c\u9884\u7559\u7a7a\u95f4\u4ecd\u7136\u5f88\u5c0f\uff1a\u8be5\u6a21\u578b\u5927\u7ea6\u5360\u7528 10 GB\uff0c\u7559\u7ed9\u7cfb\u7edf\u7684\u7a7a\u95f4\u6240\u5269\u65e0\u51e0\u3002<\/p>\n<p>\u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0cOllama \u5728\u4e94\u5206\u949f\u4e0d\u6d3b\u52a8\u540e\u5378\u8f7d\u6a21\u578b\uff0c\u91ca\u653e\u5185\u5b58\u3002\u8fd9\u5f88\u65b9\u4fbf\uff1animble \u4e0d\u4f1a\u59cb\u7ec8\u4fdd\u6301 10 GB \u7e41\u5fd9\uff0c\u4f46\u6682\u505c\u540e\u6bcf\u6b21\u65b0\u542f\u52a8\u90fd\u4f1a\u518d\u6b21\u5f00\u59cb\u52a0\u8f7d\u6a21\u578b\u3002<\/p>\n<h2>\u4f55\u65f6\u4f7f\u7528\u51b3\u7b56\u6a21\u578b<\/h2>\n<p>\u51b3\u7b56\u6a21\u578b\u975e\u5e38\u9002\u5408\u9700\u8981\u5feb\u901f\u3001\u5ec9\u4ef7\u5730\u56de\u7b54\u660e\u786e\u63d0\u51fa\u7684\u95ee\u9898\u7684\u4efb\u52a1\uff1a<\/p>\n<ul>\n<li>\u6d88\u606f\u3001\u7968\u8bc1\u548c\u8bf7\u6c42\u7684\u5206\u7c7b\u3002<\/li>\n<li>\u901a\u8fc7\u547d\u4ee4\u6216\u6267\u884c\u5668\u8fdb\u884c\u8def\u7531\u3002<\/li>\n<li>\u5185\u5bb9\u5ba1\u6838\u548c\u5b89\u5168\u68c0\u67e5\u3002<\/li>\n<li>\u6e38\u620f\u6216\u4ea4\u4e92\u5f0f\u5e94\u7528\u7a0b\u5e8f\u4e2d\u7684\u5feb\u901f\u4e8c\u5143\u548c\u591a\u5143\u89e3\u51b3\u65b9\u6848\u3002<\/li>\n<\/ul>\n<p>\u5b83\u4eec\u4e0d\u592a\u9002\u5408\u9700\u8981\u8be6\u7ec6\u6587\u672c\u7684\u4efb\u52a1\uff1a\u89e3\u91ca\u3001\u5b57\u6bb5\u63d0\u53d6\u3001\u6458\u8981\u3001\u7b54\u6848\u751f\u6210\u3002\u4e3a\u6b64\uff0c\u4fdd\u7559\u4e86\u901a\u5e38\u7684\u751f\u6210\u6a21\u578b\u3002\u7ec4\u5408\u65f6\u53ef\u4ee5\u83b7\u5f97\u6700\u4f73\u7ed3\u679c\uff1a\u51b3\u7b56\u6a21\u578b\u505a\u51fa\u51b3\u7b56\uff0c\u751f\u6210\u6a21\u578b\u89e3\u91ca\u51b3\u7b56\u6216\u63d0\u53d6\u6570\u636e\u3002<\/p>\n<h2>\u603b\u8ba1<\/h2>\n<p>\u4e0e\u5e38\u89c4\u6cd5\u5b66\u7855\u58eb\u76f8\u6bd4\uff0cOllama \u7684\u51b3\u7b56\u6a21\u578b\u662f\u4e00\u4e2a\u72ec\u7acb\u7684\u3001\u8303\u56f4\u66f4\u7a84\u7684\u5de5\u5177\u3002\u5b83\u4eec\u4e0d\u4f1a\u53d6\u4ee3\u751f\u6210\u6a21\u578b\uff0c\u4f46\u4f1a\u53d6\u6d88\u5de5\u4f5c\u7684\u5e38\u89c4\u90e8\u5206\uff1a\u952e\u5165\u7684\u54cd\u5e94\u3001\u6982\u7387\u800c\u4e0d\u662f\u6587\u672c\u89e3\u6790\u4ee5\u53ca\u53ef\u9884\u6d4b\u7684\u683c\u5f0f\u3002\u5982\u679c\u60a8\u5df2\u7ecf\u6709\u4e86\u5206\u7c7b\u7ba1\u9053\uff0c\u5219\u8f6c\u6362\u5f52\u7ed3\u4e3a\u68c0\u67e5\u6a21\u578b\u7684\u529f\u80fd\u3001\u5355\u72ec\u7684\u8c03\u7528\u7b56\u7565\u548c\u7b80\u77ed\u7684\u6307\u5bfc\u95ee\u9898\u3002<\/p>\n<p>\u6765\u6e90<br \/>\n<a href=\"https:\/\/ollama.com\/blog\/ollama-now-supports-jev-style-decision-models\" rel=\"noopener\" target=\"_blank\">https:\/\/ollama.com\/blog\/ollama-now-supports-jev-style-decision-models<\/a><br \/>\n<a href=\"https:\/\/ollama.com\/library\/nimble\" rel=\"noopener\" target=\"_blank\">https:\/\/ollama.com\/library\/nimble<\/a><br \/>\n<a href=\"https:\/\/ollama.com\/library\/tev1\" rel=\"noopener\" target=\"_blank\">https:\/\/ollama.com\/library\/tev1<\/a><br \/>\n<a href=\"https:\/\/typesafe.ai\" rel=\"noopener\" target=\"_blank\">https:\/\/typesafe.ai<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4ece\u7248\u672c 0.35 \u5f00\u59cb\uff0cOllama \u652f\u6301\u57fa\u4e8e TypeSafe \u7684 Jev API \u6784\u5efa\u7684\u51b3\u7b56\u6a21\u578b\u3002\u8fd9\u4e9b\u4e0d\u662f\u901a\u5e38\u610f\u4e49\u4e0a\u7684\u804a\u5929\u6a21\u578b\uff1a\u5b83\u4eec\u4e0d\u7f16\u5199\u6587\u672c\uff0c\u800c\u662f\u56de\u7b54\u4e00\u7ec4\u6709\u5173\u8f6c\u79fb\u72b6\u6001\u7684\u952e\u5165\u95ee\u9898\u3002\u5bf9\u4e8e\u5206\u7c7b\u3001\u8def\u7531\u3001\u5ba1\u6838\u548c\u5206\u7c7b\uff0c\u8fd9\u6bd4\u8981\u6c42\u5e38\u89c4 LLM \u8fd4\u56de JSON \u7136\u540e\u89e3\u6790\u5176\u54cd\u5e94\u66f4\u5feb\u3001\u66f4\u53ef\u9760\u3002 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